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Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes.
Tang S, Razeghi O, Kapoor R, Alhusseini MI, Fazal M, Rogers AJ, Rodrigo Bort M, Clopton P, Wang PJ, Rubin DL, Narayan SM, Baykaner T. Tang S, et al. Circ Arrhythm Electrophysiol. 2022 Aug;15(8):e010850. doi: 10.1161/CIRCEP.122.010850. Epub 2022 Jul 22. Circ Arrhythm Electrophysiol. 2022. PMID: 35867397 Free PMC article.
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.
Tariq A, Tang S, Sakhi H, Celi LA, Newsome JM, Rubin DL, Trivedi H, Gichoy JW, Patel B, Banerjee I. Tariq A, et al. Among authors: tang s. medRxiv [Preprint]. 2022 Oct 28:2022.10.25.22281469. doi: 10.1101/2022.10.25.22281469. medRxiv. 2022. PMID: 36324799 Free PMC article. Updated. Preprint.
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.
Razeghi O, Kapoor R, Alhusseini MI, Fazal M, Tang S, Roney CH, Rogers AJ, Lee A, Wang PJ, Clopton P, Rubin DL, Narayan SM, Niederer S, Baykaner T. Razeghi O, et al. Among authors: tang s. J Cardiovasc Electrophysiol. 2023 May;34(5):1164-1174. doi: 10.1111/jce.15890. Epub 2023 Apr 27. J Cardiovasc Electrophysiol. 2023. PMID: 36934383 Free PMC article.
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